Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method

This research looks into the topic of the Digital Quran as an application used by many people worldwide and via various devices (e.g. smartphones, tablets, and computers). The current digital Quran text-based format benefitted the Hexadecimal representation. However, space was not optimized due to t...

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Main Author: Ashraf Saleh Mohammad Alomoush
Format: Thesis
Language:en_US
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id my-usim-ddms-13212
record_format uketd_dc
institution Universiti Sains Islam Malaysia
collection USIM Institutional Repository
language en_US
topic Digital Quran
Qurʼan -- Online algorithms.
spellingShingle Digital Quran
Qurʼan -- Online algorithms.
Ashraf Saleh Mohammad Alomoush
Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
description This research looks into the topic of the Digital Quran as an application used by many people worldwide and via various devices (e.g. smartphones, tablets, and computers). The current digital Quran text-based format benefitted the Hexadecimal representation. However, space was not optimized due to the string concatenation approach of the Unicode of each letter that occurs in a word. Thus, the storage size for the Unicode representation is directly proportional with the length of a word. In this regard, the current study proposes a new Digital Quran Model (DQM) that aims to reduce storage requirements through word conversion into Hexadecimal instead of combining letter sequences. This approach is further optimized through Quranic word duplication handling. This is paralleled with a compressed sparse matrix representing Quranic verses and surah. The focus of this research is storage optimization for text-based Quran content formats. DQM was implemented using Visual Studio and Java servers, where the solution quality was measured by comparing the file size before and after applying the DQM model. For surah Al-Baqarah, the reduction in the storage size was 50.76%, and Al-Fatihah was 69.81%. The results of this research are consistent with other studies in the same context and provide implications in both theoretical and practical domains. In addition to space reduction analysis, the current research interviews domain experts on the proposed digital Quran applications. The outcome helps the researchers to develop a Digital Quran that users can benefit from due to its reliability, validity, and optimized storage so that it can be used as a standard application.
format Thesis
author Ashraf Saleh Mohammad Alomoush
author_facet Ashraf Saleh Mohammad Alomoush
author_sort Ashraf Saleh Mohammad Alomoush
title Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
title_short Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
title_full Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
title_fullStr Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
title_full_unstemmed Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
title_sort digital quran with storage optimization through duplication handling and compressed sparse matrix method
granting_institution Universiti Sains Islam Malaysia
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spelling my-usim-ddms-132122024-05-29T19:06:45Z Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method Ashraf Saleh Mohammad Alomoush This research looks into the topic of the Digital Quran as an application used by many people worldwide and via various devices (e.g. smartphones, tablets, and computers). The current digital Quran text-based format benefitted the Hexadecimal representation. However, space was not optimized due to the string concatenation approach of the Unicode of each letter that occurs in a word. Thus, the storage size for the Unicode representation is directly proportional with the length of a word. In this regard, the current study proposes a new Digital Quran Model (DQM) that aims to reduce storage requirements through word conversion into Hexadecimal instead of combining letter sequences. This approach is further optimized through Quranic word duplication handling. This is paralleled with a compressed sparse matrix representing Quranic verses and surah. The focus of this research is storage optimization for text-based Quran content formats. DQM was implemented using Visual Studio and Java servers, where the solution quality was measured by comparing the file size before and after applying the DQM model. For surah Al-Baqarah, the reduction in the storage size was 50.76%, and Al-Fatihah was 69.81%. The results of this research are consistent with other studies in the same context and provide implications in both theoretical and practical domains. In addition to space reduction analysis, the current research interviews domain experts on the proposed digital Quran applications. The outcome helps the researchers to develop a Digital Quran that users can benefit from due to its reliability, validity, and optimized storage so that it can be used as a standard application. Universiti Sains Islam Malaysia 2022-11 Thesis en_US https://oarep.usim.edu.my/handle/123456789/13212 https://oarep.usim.edu.my/bitstreams/9f0966af-c83c-4690-953a-2d50e78f60ec/download 8a4605be74aa9ea9d79846c1fba20a33 https://oarep.usim.edu.my/bitstreams/e71ddf4f-447d-410d-b743-68016fdf83d0/download 4157c852d78cd27b030ef80aee13204e https://oarep.usim.edu.my/bitstreams/41ddc2ea-db28-4462-87b8-3788f5fe70e5/download 03bbc40d8b3af24445183477110957e9 https://oarep.usim.edu.my/bitstreams/93b0729f-9dc9-4e96-999f-0d19f2ca0b14/download 85e4dda1ec6d6f70037e00b2d49cfdf0 https://oarep.usim.edu.my/bitstreams/91b3a248-e447-4e61-a366-be4c13d3fbea/download 02ff59c4f7786225d1679d5f0210a600 https://oarep.usim.edu.my/bitstreams/d9d11c5a-2d30-440f-a146-071fd5198ace/download fd6fe9b174e0ffdbb8cc95912a458e8e https://oarep.usim.edu.my/bitstreams/b4bc8235-58f7-44f8-bff7-3eb72592156a/download 04ec4731106ca8e5a01611196ffba4ac https://oarep.usim.edu.my/bitstreams/edcb6037-5c89-4bfd-8c45-6d14ef3cd9df/download 62d615f3bf1d1b24b4ed77cf4bef7bd5 https://oarep.usim.edu.my/bitstreams/76a60e29-95f5-4f8f-a6e2-508e8e7c7b2e/download 87dcddcb2fb1a00fdb725377d9379bc2 https://oarep.usim.edu.my/bitstreams/919ebbc7-4fac-4ce5-8881-e26ddbcfc453/download 0621cdc524ca0b7ef3015f4bebb4a4d8 https://oarep.usim.edu.my/bitstreams/bc79ec9a-38e4-49d2-b4b7-a6e743065bcc/download 4e39843c20891ecd2ab83722db539b20 https://oarep.usim.edu.my/bitstreams/3a69e0b4-1de9-4599-93c5-5aa7861fbb42/download 68b329da9893e34099c7d8ad5cb9c940 https://oarep.usim.edu.my/bitstreams/6bc1fcf3-2573-4a19-a5c7-6a405fc4944a/download 14b2bc09cc7dc29aad70097d6b18fa35 https://oarep.usim.edu.my/bitstreams/0ffc24e0-bd66-46bd-a446-623cfd57a2ba/download 46f80c7204f56d4647ecd1de893fafab https://oarep.usim.edu.my/bitstreams/ff5c78a1-cfd7-48b7-8521-e4a2ecb042c1/download 849267babd15efdb0bff324257101c81 https://oarep.usim.edu.my/bitstreams/95efde2e-d76f-4124-9113-589af25b136e/download 9c6d956715125a722b5705d28ef33083 https://oarep.usim.edu.my/bitstreams/09407b3a-e1dd-49bc-9dd2-8387752fdc88/download aca66a89d47958d05abab0170df3bc72 https://oarep.usim.edu.my/bitstreams/2eb61809-a931-4424-b2a3-7a3c4f203f25/download 40965b93f5f93c381af48354a834b359 https://oarep.usim.edu.my/bitstreams/9cdd93b9-1641-454e-b0f5-e7dae4c01c40/download d272b8047613cf0ecbffec4d8645f49a https://oarep.usim.edu.my/bitstreams/615db96a-8d0c-45cc-837a-9f1fe646f363/download 226d1890ba9c450507680531c9d43072 https://oarep.usim.edu.my/bitstreams/234e582b-cb63-43df-ae9d-40666b5f56ab/download 322c60392d091e4d2da0bf5adbb54148 Digital Quran Qurʼan -- Online algorithms.